Swarm Intelligence

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 15 in Search and Optimization by Metaheuristics, 2016, pp 237-263 from Springer

Abstract: Abstract Nature-inspired optimization algorithms can, generally, be grouped into evolutionary approaches and swarm intelligence methods. EAs try to improve the candidate solutions (chromosomes) using evolutionary operators. Swarm intelligence methods use differential position update rules for obtaining new candidate solutions. The popularity of the swarm intelligence methods is due to their simplicity, easy adaptation to the problem, and effectiveness in solving the complex optimization problems.

Keywords: Firefly Algorithm; Gravitational Search Algorithm; Cuckoo Search; Artificial Fish; Cuckoo Search Algorithm (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-41192-7_15

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